Science Education Databook PDF Download
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Author: National Science Foundation (U.S.). Directorate for Science Education. Office of Program Integration
Publisher:
ISBN:
Category : Degrees, Academic
Languages : en
Pages : 172
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Book Description
Author: National Science Foundation (U.S.). Directorate for Science Education. Office of Program Integration
Publisher:
ISBN:
Category : Degrees, Academic
Languages : en
Pages : 172
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 154
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Book Description
Author: Steven L. Brunton
Publisher: Cambridge University Press
ISBN: 1009098489
Category : Computers
Languages : en
Pages : 615
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Book Description
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Author: Shane Safir
Publisher: Corwin
ISBN: 1071812661
Category : Education
Languages : en
Pages : 281
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Book Description
Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.
Author: Ryan A. Estrellado
Publisher: Routledge
ISBN: 1000200906
Category : Education
Languages : en
Pages : 315
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Book Description
Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
Author: National Institute of Education (U.S.). R & D System Support Division
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 108
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Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 192
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Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 102
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Author: Alphonse Buccino
Publisher:
ISBN:
Category : Degrees, Academic
Languages : en
Pages : 242
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Book Description
Author: United States. Congress. House. Committee on Science and Technology. Subcommittee on Science, Research, and Technology
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 144
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Book Description
